摘要
非线性方程组的求解在科学技术和工程应用中经常遇到。将非线性方程组的求解问题转化为函数优化问题,并应用改进量子遗传算法求解此优化问题。数值模拟的结果验证了该方法的可行性和有效性。
Solving nonlinear equation group is familiar in science technology and engineering application. The problem of solving nonlinear equation group is transformed to the function optimization problem, and improved quantum genetic algorithm is used to solving the problem. Numerical experiments show the feasibility and efficiency of this method.
出处
《四川理工学院学报（自然科学版）》
CAS
2009年第3期12-14,共3页
Journal of Sichuan University of Science & Engineering(Natural Science Edition)
关键词
量子遗传算法
非线性方程组
函数优化
quantum genetic algorithm
nonlinear equation group
function optimization
